iPad Pro 13-inch (M4)
Geekbench AI Score
4940
Single Precision Score
36208
Half Precision Score
51077
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
16829
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22620
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22250
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30756
498.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122869
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232885
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
17755
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25423
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42828
508.9 IPS |
|
|
Face Detection (Q)
|
100% |
62379
741.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99861
769.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164375
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24314
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234326
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320055
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50791
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82372
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16429
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18645
322.2 IPS |
